Building Dynamic permutation based Privacy Preservation Model with Block Chain Technology for IoT Healthcare Sector

Abstract

Blockchain technology has the potential to address present interoperability issues in health information systems by establishing a technological standard that ensures safe electronic health data exchange amongst people, healthcare suppliers and medicinal up keep organizations including medical professionals. Patients' sensory data can be fed into Internet of Things (IoT) devices in real timewhich can be evaluated and managed in the healthcare industry. The privacy and security of health data pertaining topatients' is now also a major concern with IoT devices across a wide variety of product sectors. According to previous research, blockchain technology has been determined to be a substantial answer to the data security concerns that present in IoT. The Dynamic Permutation with Multi-Modal Safe Data (DPMMSD) based Hyper Elliptic Curve Cryptography (HECC) Framework (DPMMSD-HECC) is suggested in this research for safeadmission and regulator topatient's data in IoT. The suggested framework of healthcare data management in IoT devices is successfully utilized for fulfilling the optimum confidentiality and safety requirements. Blockchain approach has beenused in this study to develop a dependable and safe data sharing stage that connects several information sources and encrypts and records IoT data in a distributed ledger. A research on security revealed that a particular information secures the parameters related to DPMMSD-HECC model for data analysts and maintains the secrecy of important data from each data source. The recommended strategy is evaluated compared to two benchmark datasets from the UCI AI repository: Breast Cancer Wisconsin Data Set (BCWD) and Heart Disease Data Set (HDD). The. Simulation results showed that the proposed DPMMSD-HECC model has outperformed all of the other techniques in a number of ways.